ROAILGMay 19, 2025

A Comprehensive Survey on Physical Risk Control in the Era of Foundation Model-enabled Robotics

arXiv:2505.12583v23 citationsh-index: 20IJCAI
Originality Synthesis-oriented
AI Analysis

It addresses safety concerns for deploying adaptable robots in real-world environments, but is incremental as a survey paper.

This survey tackles the problem of physical risk control in foundation model-enabled robotics (FMRs) by summarizing control approaches across the pre-deployment, pre-incident, and post-incident phases, identifying gaps such as pre-incident mitigation strategies and human interaction assumptions.

Recent Foundation Model-enabled robotics (FMRs) display greatly improved general-purpose skills, enabling more adaptable automation than conventional robotics. Their ability to handle diverse tasks thus creates new opportunities to replace human labor. However, unlike general foundation models, FMRs interact with the physical world, where their actions directly affect the safety of humans and surrounding objects, requiring careful deployment and control. Based on this proposition, our survey comprehensively summarizes robot control approaches to mitigate physical risks by covering all the lifespan of FMRs ranging from pre-deployment to post-accident stage. Specifically, we broadly divide the timeline into the following three phases: (1) pre-deployment phase, (2) pre-incident phase, and (3) post-incident phase. Throughout this survey, we find that there is much room to study (i) pre-incident risk mitigation strategies, (ii) research that assumes physical interaction with humans, and (iii) essential issues of foundation models themselves. We hope that this survey will be a milestone in providing a high-resolution analysis of the physical risks of FMRs and their control, contributing to the realization of a good human-robot relationship.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes